Skillfield is growing—and we’re looking for a Data Scientist who’s passionate about building real-world machine-learning solutions.
This role is ideal for someone with a few years of experience under their belt, who’s ready to take their skills to the next level. You'll be part of a collaborative team, solving business problems with machine learning models and contributing to delivery across industries like telco, utilities, and beyond.
What You’ll Be Doing
- Build and validate machine learning models to solve real business challenges
- Collaborate on model optimisation, evaluation, and deployment
- Support data preparation, wrangling, and feature engineering tasks as needed
- Work with cloud platforms (Azure or AWS) to build scalable solutions
- Engage with clients—presenting insights and contributing to technical delivery
What We're Looking For
- Solid experience in Python and ML libraries (e.g. scikit-learn, XGBoost, pandas)
- Hands-on experience with Azure or AWS
- Understanding of ML lifecycle—from training to deployment
- Strong problem-solving mindset and willingness to learn
- Comfortable in client-facing settings or keen to grow into one
- Bonus: Experience with MLOps tools (e.g. MLflow, Airflow, Docker)
Why Skillfield
- Work with a tight-knit, high-performing team delivering real impact
- Career progression pathways with access to mentoring and training
- Hybrid working with flexible arrangements
- Work on projects across sectors like energy, telco, and enterprise
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